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Enterprise & Industry14 min read

IT department records lowest AI usage at 14 times per month in 50‑employee firm

In June 2026 a 50‑person company measured average monthly AI interactions per employee across three tools—Gemini, Claude and ChatGPT. The customer‑success team logged the highest Gemini usage at 157 times per person, while the IT department recorded only 14 uses, an 18‑fold difference between the top and bottom departments.

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Key points

  • Gemini usage in June showed 157 uses per person in Success and 14 uses in IT, an 18‑fold gap
  • Across three tools, 47 of 50 employees used AI; 41 used Gemini, 22 Claude, 9 ChatGPT
  • IT’s low count reflects measurement limits, as they embed AI in workflows not captured by usage logs

The author combined reports from the Google Workspace admin console (Gemini), Claude’s team‑plan dashboard, and the ChatGPT Enterprise leaderboard. Across the three services, 47 employees used at least one tool: 41 used Gemini, 22 used Claude, and 9 used ChatGPT, with five people using all three. The IT team’s low count stems from the fact that the management screens only capture chat‑window openings; many IT staff run AI‑powered automations in Dify, Zapier, or custom agents that the reports do not count.

The analysis highlights that raw usage counts can mislead managers. Departments whose work aligns with email, documents and repetitive queries (Success and Support) show high numbers, while IT and Planning appear low because their AI activities occur outside the tracked interfaces.

Full story from note.com · by beyond_horizon_ai · via Search: ChatGPTOpen source ↗

The lowest AI usage was in the IT department. An 18-fold difference when broken down by department. Results combining three tools: ChatGPT, Gemini, and Claude

note.com · 23 September 2026

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This text was published by note.com and written by beyond_horizon_ai. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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